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作 者:程云洁 刘娴 CHENG Yunjie;LIU Xian(School of Economics,Xinjiang University of Finance and Economics,Urumqi Xinjiang 830012,China)
机构地区:[1]新疆财经大学经济学院,新疆乌鲁木齐830012
出 处:《技术经济与管理研究》2024年第12期77-82,共6页Journal of Technical Economics & Management
基 金:国家自然科学基金项目(72064035);新疆维吾尔自治区社会科学基金项目(2024BJL043);新疆维吾尔自治区研究生科研创新项目(XJ2024G224);新疆高校人文社会科学重点研究基地中国(新疆)与中亚区域经济合作研究中心重点项目(XJEDU2022J020)。
摘 要:围绕智能投入、智能应用和智能效率三个维度构建我国30个省份的智能制造水平指标,采用动态面板模型探究智能制造对绿色全要素生产率的影响及其作用机制。研究发现:智能制造整体上对于绿色全要素生产率具有先抑制后促进的“U”型影响,在更换衡量指标和模型后这一结果依然稳健,且存在明显区域异质性、环境规制强度异质性和资源依赖程度异质性;在作用机制上,智能制造提升绿色全要素生产率的主要作用机制为绿色技术创新和产业结构优化效应,且随时间推移影响效果更为显著。The article constructs indicators of intelligent manufacturing level in 30 provinces of China around the three dimensions of smart input,smart application and smart efficiency,and explores the impact of intelligent manufacturing on green total factor productivity and its mechanism using a dynamic panel model.The study finds that intelligent manufacturing has a"U-shaped"impact on green total factor productivity,which is inhibited first and then promoted,and the result is still robust after replacing the indicators and models,and there are obvious regional heterogeneity,heterogeneity of environmental regulation intensity and heterogeneity of resource dependence;In terms of the mechanism of its action,intelligent manufacturing enhances green total factor productivity,and the main mechanism of intelligent manufacturing to enhance green total factor productivity is the effect of green technological innovation and industrial structure optimization,and the effect will be more significant with the passage of time.
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